A Survey on IoT and Blockchain-Enabled Systems for Automobile Tracking, Security and Voice Recognition

V. Saranya, J. Deepa

2025

Abstract

Many studies have developed new endeavors of automobile tracking, vehicle monitoring, and secured systems by incorporating IoT and block-chain technology in this paper. The proposed framework is one which at its core utilizes GPS, GSM, and MMS, working together to create a real-time system addressing issues such as vehicle theft and accidents. If the vehicle is stolen, the IoT sensors sense unauthorized access to the vehicle, stops the vehicle engine and captures the image of the driver. This data is transferred securely via blockchain protocol, which preserves data integrity and prevents manipulation through unauthorized methods. Likewise, in the event of an accident, the system will also make a note of the car’s location and image of the driver and send it to the registered emergency contacts or the owner, providing timely assistance. In this context, although blockchain is very critical for implementing secure, decentralized and immutable data communications inside the framework. This technology solves the privacy and security problems in IoT network. Additionally, the system is complemented by the voice recognition capabilities of AI for developing user interaction. Autonomous systems powered by advanced algorithms allow drivers to operate many functions of their vehicles while maintaining a hands-free experience – a game changer for convenience and safety. The survey covers previous solutions, technological developments, and challenges of deploying these systems. It highlights challenges including scalability, latency and integration costs as prohibitive barriers to adoption, alongside possible solutions like leveraging edge computing, hybrid blockchain solutions, and better noise-filtering in voice recognition. This architecture highlights the revolutionary impact achievable through the merger of IoT and Blockchain technologies. This new method strives to reimagine traditional techniques with a focus on security, efficiency, and solving current challenges, all to enhance the landscape of vehicle tracking and monitoring.

Paper Citation

in Harvard Style

Saranya V. and Deepa J. (2025). A Survey on IoT and Blockchain-Enabled Systems for Automobile Tracking, Security and Voice Recognition. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 519-529. DOI: 10.5220/0013885800004919

in Bibtex Style

@conference{icrdicct`2525,
author={V. Saranya and J. Deepa},
title={A Survey on IoT and Blockchain-Enabled Systems for Automobile Tracking, Security and Voice Recognition},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={519-529},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013885800004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - A Survey on IoT and Blockchain-Enabled Systems for Automobile Tracking, Security and Voice Recognition
SN - 978-989-758-777-1
AU - Saranya V.
AU - Deepa J.
PY - 2025
SP - 519
EP - 529
DO - 10.5220/0013885800004919
PB - SciTePress